ASUS System Product Name
Geekbench ML Score
19770
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 05:03 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11516
2.16 KIPS |
|
|
Image Classification (F16)
|
100% |
11241
2.10 KIPS |
|
|
Image Classification (I8)
|
100% |
9975
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14411
240.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13210
220.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
13169
219.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
124526
150.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
124215
150.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
110035
133.2 IPS |
|
|
Object Detection (F32)
|
100% |
5743
428.7 IPS |
|
|
Object Detection (F16)
|
100% |
5699
425.5 IPS |
|
|
Object Detection (I8)
|
62% |
5370
400.9 IPS |
|
|
Face Detection (F32)
|
100% |
26566
315.9 IPS |
|
|
Face Detection (F16)
|
100% |
26854
319.3 IPS |
|
|
Face Detection (I8)
|
89% |
21113
251.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
55004
426.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
54655
423.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
43666
338.6 IPS |
|
|
Style Transfer (F32)
|
100% |
198333
260.9 IPS |
|
|
Style Transfer (F16)
|
100% |
204471
269.0 IPS |
|
|
Style Transfer (I8)
|
98% |
170728
224.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29769
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32780
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25744
919.4 IPS |
|
|
Text Classification (F32)
|
100% |
3469
4.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (I8)
|
98% |
2378
3.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
5407
99.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4981
91.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3094
56.9 IPS |
